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Table 3 Means of the metric values and of their ranks among the different methods over the 14 studied datasets separated into method for the following metrics: diffexpr, skewdiv and corbeaf

From: Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment

diffexpr

Mean values

combat

stand

ratioa

meanc

ratiog

none

sva

fabatch

 

0.11044

0.10958

0.10891

0.1088

0.10796

0.10526

0.09517

0.09364

Mean ranks

combat

stand

ratioa

meanc

none

ratiog

fabatch

sva

 

3.28571

3.57143

3.78571

4.14286

4.5

4.64286

5.85714

6.21429

skewdiv

Mean values

fabatch

sva

stand

combat

ratioa

ratiog

meanc

none

 

0.01724

0.02206

0.02377

0.02688

0.02875

0.03257

0.03671

0.05041

Mean ranks

sva

fabatch

combat

stand

meanc

ratioa

ratiog

none

 

2.21429

2.92857

4.28571

4.78571

5.07143

5.42857

5.5

5.78571

corbeaf

Mean values

none

combat

meanc

ratioa

ratiog

stand

sva

fabatch

 

1

0.86857

0.86742

0.85516

0.84931

0.82754

0.69313

0.67795

Mean ranks

none

combat

meanc

ratiog

ratioa

stand

sva

fabatch

 

1

2.92857

2.92857

4.21429

4.35714

5.85714

7.14286

7.57143

  1. In each row the results are listed in descending order according to mean performance in terms of the original values and their ranks, respectively. The results of FAbatch are printed in bold